code: def __getitem__(self, index):
      from PIL import Image
  
      fpath = self.files[index]
  
      with open(fpath, "rb") as f:
          img = Image.open(f).convert("RGB")
  
      if self.transform is None:
          img = self.tensor_transform(img)
      else:
          img = self.transform(img)
          assert torch.is_tensor(img)
  
      res = {"id": index, "img": img}
  
      if self.labels is not None:
          res["label"] = self.labels[index]
  
      return res
  
file_path: fairseq/examples/data2vec/data/image_dataset.py
imports: import logging
  import numpy
  import os
  from typing import Optional, Callable, Set
  import torch
  from torchvision.datasets.vision import VisionDataset
  from torchvision.transforms import ToTensor
  from fairseq.data import FairseqDataset
label_desc: Use image node_id 2 for calling the ImageDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: res